Mega Rise
The Mega Rise indicator helps you find entry points for buying and selling. It uses several indicators and its own algorithm to analyze the market.
It works on any timeframe and any currency pair.
Индикатор Mega Rise помогает найти точки входа для покупки и продажи. Для анализа рынка он использует несколько индикаторов, а также свой алгоритм.
Работает на любом таймфрейме и любой валютной паре.
Médias Móveis
GrowthX 365📌 GrowthX 365 — Adaptive Crypto Strategy
GrowthX 365 is a precision-built Pine Script strategy designed for crypto traders who want hands-off, high-frequency execution with clear, consistent logic.
It adapts dynamically to market volatility using multi-timeframe filters and manages exits with a smart 3-tier take-profit and stop-loss system.
Built for automation, GrowthX 365 helps eliminate emotional decision-making and gives traders a rules-based, 24/7 edge across major crypto pairs.
⚙️ Core Features:
• ✅ Multi-timeframe, non-repainting trend confirmation
• ✅ Configurable TP1 / TP2 / TP3 + Fixed SL
• ✅ Trailing stop & risk-reward tuning supported
• ✅ On-chart labels, trade visuals & stat dashboard
• ✅ Fully compatible with Cornix, WunderTrading, 3Commas bots
• ✅ Works in trending, ranging, and volatile markets
🧪 Strategy Backtest Highlights (May 2025)
🔹 EIGEN/USDT — 15m Timeframe
• Net Return: +318%
• Drawdown: $35 (3.5%)
• Trades: 247
• Win Rate: 49%
📸 Screenshot: ibb.co
🔹 AVAX/USDT — 15m Timeframe
• Net Return: +108%
• Drawdown: $22.5 (2.25%)
• Trades: 115
• Win Rate: 49%
📸 Screenshot: ibb.co
🧪 Backtest settings used:
Capital: $1000 • Risk per trade: $100 • Slippage: 0.1% • Commission: 0.04%
📌 These results reflect one-month performance. Strategy has shown similar behavior across coins like SOL, INJ, and ARB in trending markets.
⚠️ Backtest performance does not guarantee future results. Always validate settings per coin and timeframe.
Access:
This script is invite-only and closed-source.
Please check my profile signature for access details.
SMA TableSMA Table
This indicator displays a clean, simple table showing the current status of three key Simple Moving Averages (SMAs) relative to price. The table changes color based on price position - green when price is above the SMA and red when below.
Features:
- Shows 3 customizable Simple Moving Averages (default: 20, 50, 200)
- Visual color-coding: green when price is above an SMA, red when below
- Compact table display that doesn't clutter your chart
- Customizable alert settings for price crosses of each SMA
- No chart plotting - perfect as a supplementary indicator
Use Cases:
- Quick visual reference for trend direction using multiple timeframes
- Monitor key technical levels without chart clutter
- Get alerts when price crosses important moving averages
- Use as part of a trend-following strategy
This clean, minimalist indicator helps traders quickly assess market trend structure across multiple timeframes without the visual noise of multiple moving average lines on their charts.
EMA 50/100/200/400📊 EMA 50/100/200/400 Indicator Description
- This indicator displays four different exponential moving averages (EMAs) on a single chart.
- It allows you to clearly identify trends from short-term to long-term perspectives.
- By analyzing the spacing and alignment of the EMAs, you can assess the market’s momentum and overall strength.
✅ EMAs Used
- EMA 50: Shortest-term, for immediate trend confirmation (light green, #81c784)
- EMA 100: Short- to mid-term trend confirmation (blue, #5b9cf6)
- EMA 200: Mid- to long-term trend benchmark (purple, #ba68c8)
- EMA 400: Longest-term, ultra-long trend benchmark (white)
✅ Trading Strategy (Short-term perspective)
- When short-term EMAs (50, 100) are above long-term EMAs (200, 400): strong uptrend → consider long positions.
- When short-term EMAs are below long-term EMAs: downtrend → consider short positions.
✅ Swing or Long-term Investment Strategy
- 200 EMA: Long-term trend benchmark → below it signals undervaluation → consider small, phased (scaled-in) entries.
- 400 EMA: Ultra-long-term average → further signals deeper undervaluation → consider additional heavier scaled entries.
- When both EMAs are below the price: statistically considered oversold → consider large-scale phased entries.
- When the 50 EMA is significantly above the 400 EMA in a strong uptrend: consider partial profit-taking.
- When the 50 EMA crosses below the 400 EMA (bearish crossover): consider full exit.
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📊 EMA 50/100/200/400 지표 설명
- 4개의 다른 기간 지수이동평균선(EMA) 을 한 차트에 동시에 표시해주는 지표입니다.
- 이를 통해 단기부터 장기까지 다양한 관점에서 추세를 한눈에 파악할 수 있습니다.
- EMA 간격과 정렬 상태를 통해 시장의 모멘텀과 강도를 파악할 수 있습니다.
✅ 사용된 EMA
- EMA 50: 가장 짧은 기간, 단기 추세 확인용 (밝은 녹색, #81c784)
- EMA 100: 중·단기 추세 확인용 (파란색, #5b9cf6)
- EMA 200: 중·장기 추세 확인용 (보라색, #ba68c8)
- EMA 400: 가장 긴 기간, 장기 추세 확인용 (흰색)
✅ 트레이딩 관점 매매 활용법
- 단기 EMA(50, 100)가 장기 EMA(200, 400) 위에 있으면 강한 상승 추세로 롱
- 단기 EMA가 장기 EMA 아래에 있으면 하락 추세 숏
✅ 스윙 또는 장투 관점 매매 활용법
- 200일 EMA: 장기 추세 기준선 → 아래에 있으면 저평가 신호로 소량 분할매수 진행
- 400일 EMA: 초장기 평균 가격 → 추가적인 저점 및 최종 지지 중량 분할매수 진행
- 두 EMA 모두 아래에 있으면 통계적으로 과매도 상태로 간주 → 대량 분할매수 진행
- 50 EMA와 400 EMA가 정배열로 멀리 떨어진 과열 상태일 때 → 분할 매도 고려
- 50 EMA와 400 EMA가 역배열로 바뀔때 → 풀 매도 고려
copyright @invest_hedgeway
ReversoReverso – Moving Average Touch Statistics Tracker
Reverso indicator is a technical analysis tool that tracks and visualizes how price interacts with a selected Exponential Moving Average (EMA). It provides detailed statistics about price behavior before, during, and after each EMA touch event.
This script is suitable for both trend-following and mean-reversion traders who want to study EMA reactions, understand market tendencies, and refine entry/exit strategies based on price-memory dynamics.
Features and Functionality
Supported MAs: EMA 9, 20, or 50
Timeframe Support: Uses the chart’s timeframe
Touch Detection: Triggered when the price range (high to low) crosses or touches the EMA
Automatic Data Tracking
Tables for Quick Visual Summary
Visual Overlay: Optional EMA line plotted on chart
Timeframe Support: Uses the chart’s timeframe
Capped history: Most recent 50 touches
Automatic Data Tracking:
Number of EMA touches
Time intervals between touches
Price distance from last touch
Maximum price deviation (above/below EMA) between touches
Time spent above/below EMA
Tables for Quick Visual Summary:
Info Table: Live details about last and first touches, distance from touch, bars above/below, peak movements since last touch
Stats Table: Averages and extreme values for price behavior patterns across recent history
Core Metrics Tracked
Last Touch Price: The last price level where price touched the EMA
Distance from Last Touch: Current % change from the last touch price
Time Between Touches: Average and maximum intervals (in bars or time) between touch events
Max Distance Above/Below: Peak movement above/below EMA between touches
Bars Above/Below: How long price stayed above/below the EMA since last touch
Peak This Cycle: Max deviation above/below in current cycle since last touch
How It Works
Reverso monitors each bar to check if price intersects the selected EMA.
When a new touch occurs, it records the touch price and time, and resets the tracking cycle.
From that point forward, it tracks how far and how long price drifts above or below the EMA.
This process repeats with each new touch, building a detailed profile of how price behaves around the moving average.
The result is a visual and statistical framework for understanding price memory, market rhythm, and mean-reversion opportunities.
Customization Options
EMA Length: Choose from EMA 9, 20, or 50
Show MA Line: Toggle the EMA plot on the chart
Show Info Table: Enable/disable the current-touch summary
Show Statistics Table: Show aggregate data over the history
Table Positioning: Customizable placement for both tables
MA Color: Select custom color for EMA plot
Intended Use Cases
Identify reversal or continuation setups near EMAs
Validate strategies relying on mean reversion
Backtest the consistency of price respect to EMAs
Detect periods of volatility clustering around EMAs
Notes and Disclaimers
This script does not repaint: calculations are made on confirmed bars.
This indicator is educational in nature and should be used alongside other forms of analysis.
Time durations in the tables are approximated using bar timing and may vary across markets/timeframes.
Fair Value Z Gauge📊 Fair Value Z Gauge Indicator Description
- This indicator visually represents whether the price is relatively overvalued or undervalued compared to a specific moving average (MA) using a Z-score normalization approach.
- When the Z-score is around 0, it can be interpreted statistically as fair value or "fair price."
✅ Key Concept
- Price-to-MA ratio (p_ratio): Calculated by dividing the price by the MA and then subtracting 1, this shows the relative deviation from the moving average.
- Z-score normalization: p_ratio is divided by its 200-period standard deviation, making it easy to identify statistically significant overbought or oversold zones.
✅ Default & User Inputs
- Default MA period (100, DEMA by default)
- Selectable MA types: EMA, SMA, WMA, VWMA, RMA, DEMA, TEMA, ZLEMA, HMA
- Upper/lower threshold levels (h_level: 3, l_level: -1.5)
- Signal line period (default: 100) and line thickness
✅ Visualization
- Z-score line: Red gradient for overbought, aqua/green gradient for oversold zones
- Signal line: SMA of p_ratio for trend confirmation
- Upper/lower threshold lines: Clearly indicate risk and undervaluation zones
- Fill highlights: Visual emphasis when crossing thresholds
- Bar color: Automatically adjusts based on Z-score status
- Table: Displays real-time p_ratio value
✅ Swing Trading Strategy Interpretation & Usage
- Upper red peak: Overbought zone → Mandatory profit-taking or sell signal
- Lower blue bottom: Undervalued zone → Mandatory buy signal
- Line dropping toward 0: Ideal for gradual, phased entries (scaling in)
- Signal line: Helps confirm overall trend and entry/exit timing
💡 Usage Ideas
- Enables clear, quantified entry/exit strategies based on statistical overextension
- Allows for various MA combinations to define personalized "fair value" levels
- Ideal for scaling in/out and portfolio rebalancing strategies
copyright @invest_hedgeway
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📊 Fair Value Z Gauge 지표 설명
- 이 지표는 가격이 특정 이동평균(MA) 대비 상대적으로 고평가(Overvalued) 혹은 저평가(Undervalued) 되었는지를 Z-score 방식으로 정규화하여 시각적으로 보여줍니다.
- Z-Score가 0이라면 통계적으로 적정평가=공정가치라고 설명할 수 있습니다.
✅ 주요 개념
-가격 대비 이동평균 비율 (p_ratio) : 가격을 MA로 나눈 뒤 -1을 적용해 MA와의 상대적 괴리를 계산합니다.
- Z-score 기반 정규화: p_ratio를 200기간 표준편차로 나누어, 통계적으로 의미 있는 과열 구간과 저평가 구간을 쉽게 파악하도록 설계했습니다.
✅ 기본 입력 및 사용자 입력값
- 기본 MA 기간 (기본: 100, DEMA)
- MA 유형 선택 가능 : EMA, SMA, WMA, VWMA, RMA, DEMA, TEMA, ZLEMA, HMA
- 상단/하단 기준 경계선 (h_level: 3, l_level: -1.5)
- 시그널 라인 기간 (기본: 100) 및 굵기
✅ 시각화 구성
- Z-score 라인: 과열 시 빨간색, 과매도 시 청록색/녹색 그라디언트
- 시그널 라인: p_ratio의 SMA로 추세 보조
- 상단/하단 기준선: 위험 구간과 저점 구간 한눈에 확인
- fill 강조: 기준선 돌파 시 시각적 강조
- 바 색상: Z-score 상태에 따라 자동 채색
- 테이블: 현재 p_ratio 값 실시간 표시
✅ 스윙매매 간 전략적 해석 및 활용
- 상단 빨간 색상 최고·저점: 과열 구간 → 반드시 차익실현 또는 매도 신호
- 하단 파랑 색상 저점: 저평가 구간 → 반드시 매수 신호
- 선이 하락하며 0 인근 도달: 단계적 분할매수 시점
- 시그널 라인은 전체 흐름과 추가 타이밍 보조
💡 활용 아이디어
- 정량화된 과열·과매도 기준으로 단호한 진입·청산 전략 가능
- 다양한 MA 실험으로 자신만의 "공정 가치" 탐색
- 분할매수·매도, 포트폴리오 리밸런싱 전략에 최적
copyright @invest_hedgeway
BAASHA V2The BAASHA Indicator is a custom-built trading tool designed for fast-paced, high-conviction trades across crypto futures and intraday markets. Built by a seasoned trader Steel x cmr, with 7+ years of experience, this indicator simplifies decision-making by generating clear Buy (‘B’) and Sell (‘S’) signals, backed by real-time confidence scoring.
Dual SMA/EMA Strategy with Alerts200 SMA 9/21 EMA with EMA Golden Crossover warning. Helps with detecting when a GoldenCross has been triggered.
Stochastics Momentum Index with Buy DotsDetermining overbought points with buy signals at stochastic and ema intersections. We should take into consideration signals coming below -40.
Stochastics Momentum Index with Buy Dotsstokastik ve ema kesişimlerinde buy sinyali ile aşırı alım noktalarını belirleme.
Custom Signal v1 - Ivan - Strict One Arrowtrend following indicator, do buy or sell with m15 chart on xau/usd
FinhedgesFinhedges is a professional-grade trend analysis tool designed for precision trading. Built for traders who demand clarity, accuracy, and reliability, this indicator empowers users with real-time market insights while maintaining a clean and user-friendly visual interface.
✅ Key Features:
📈 Advanced Trend Detection: Accurately identifies prevailing market trends to guide directional bias.
🟢🔴 Intelligent Signal System: Displays high-quality Buy and Sell signals optimized for both swing and intraday trading.
🧠 Smart Filtering Logic: Reduces noise and false signals for higher conviction entries.
📊 Customizable Trend Line: Visualizes trend direction clearly across all timeframes.
⏰ Built-in Alerts: Real-time notifications so you never miss a key opportunity.
📋 Optional Market Status Table: Provides a quick overview of trend and price data directly on the chart.
Rolling VWAPVWAP (Volume Weighted Average Price) is a trading benchmark that gives the average price a security has traded at throughout the day, based on both price and volume.
TRADER_3DThis indicator is derived from the sum of moving averages. Price charts sometimes react to the areas of this indicator. You cannot rely on this indicator alone and enter a trade only by reacting to these bands. This is wrong and will lower your win rate. Instead, wait for the remaining conditions to form before entering a trade, for example with full-body candles or a multi-time frame look.
RAHA Strategy - Short
Roni's Adjusted Hybrid Average – a formula developed by Aharon Roni Pesach.
What is RAHA?
This is an adjusted hybrid average that gives different weight to outliers:
The extreme values (particularly high or low) receive a lower weight.
The calculation is based on the standard deviation and average of the data.
This results in a more sensitive but stable average that does not ignore outliers – but rather considers them in proportion.
The RAHA Short Strategy identifies a negative trend and enters when clear technical conditions are met, such as a downward slope of RAHA 40, RAHA 10 crossing below RAHA 20, and the absence of a sequence of 3 red candles.
Entry is also made in the exceptional case of a red candle above the Bollinger Band.
The position size is determined by 1% of the capital divided by the stop.
The exit is carried out by a stop above the high, or under additional conditions below the profit target (TP).
אסטרטגיית השורט RAHA מבוססת על נוסחת ממוצע ייחודית בשם RAHA – ראשי תיבות של:
Roni's Adjusted Hybrid Average – נוסחה שפיתח אהרון רוני פסח.
מהו RAHA?
מדובר בממוצע היברידי מתואם המעניק משקל שונה לנתונים חריגים:
הערכים הקיצוניים (גבוהים או נמוכים במיוחד) מקבלים משקל נמוך יותר.
החישוב מבוסס על סטיית התקן והממוצע של הנתונים.
כך מתקבל ממוצע רגיש אך יציב יותר, שאינו מתעלם מהחריגים – אלא מתחשב בהם בפרופורציה.
אסטרטגיית השורט RAHA מזהה מגמה שלילית ומבצעת כניסה כשמתקיימים תנאים טכניים ברורים, כמו שיפוע יורד של RAHA 40, חציית RAHA 10 מתחת ל‑RAHA 20, והיעדר רצף של 3 נרות אדומים.
הכניסה מבוצעת גם במקרה חריג של נר אדום מעל רצועת בולינגר.
גודל הפוזיציה נקבע לפי 1% מההון חלקי הסטופ.
היציאה מבוצעת לפי סטופ מעל הגבוה, או בתנאים נוספים מתחת ליעד הרווח (TP).
RAHA Strategy - LongThe RAHA Long Strategy is based on a unique average formula called RAHA – an acronym for:
Roni's Adjusted Hybrid Average – a formula developed by Aharon Roni Pesach.
What is RAHA?
This is an adjusted hybrid average that gives different weight to outliers:
The extreme values (particularly high or low) receive a lower weight.
The calculation is based on the standard deviation and average of the data.
This results in a more sensitive but stable average that does not ignore outliers – but rather considers them in proportion.
The RAHA Long Strategy identifies a positive trend and enters when clear technical conditions are met, such as an upward slope of RAHA 40, RAHA 10 crossing above RAHA 20, and the absence of a sequence of 3 green candles.
Entry is also made in the exceptional case of a green candle below the Bollinger Band.
The position size is determined by 1% of the capital divided by the stop.
The exit is carried out by a stop below the low, or under additional conditions above the profit target (TP).
אסטרטגיית הלונג RAHA מבוססת על נוסחת ממוצע ייחודית בשם RAHA – ראשי תיבות של :
Roni's Adjusted Hybrid Average – נוסחה שפיתח אהרון רוני פסח.
מהו RAHA?
מדובר בממוצע היברידי מתואם המעניק משקל שונה לנתונים חריגים:
הערכים הקיצוניים (גבוהים או נמוכים במיוחד) מקבלים משקל נמוך יותר.
החישוב מבוסס על סטיית התקן והממוצע של הנתונים.
כך מתקבל ממוצע רגיש אך יציב יותר, שאינו מתעלם מהחריגים – אלא מתחשב בהם בפרופורציה.
אסטרטגיית הלונג RAHA מזהה מגמה חיובית ומבצעת כניסה כשמתקיימים תנאים טכניים ברורים, כמו שיפוע עולה של RAHA 40, חציית RAHA 10 מעל RAHA 20, והיעדר רצף של 3 נרות ירוקים.
הכניסה מבוצעת גם במקרה חריג של נר ירוק מתחת לרצועת בולינגר.
גודל הפוזיציה נקבע לפי 1% מההון חלקי הסטופ.
היציאה מבוצעת לפי סטופ מתחת לנמוך, או בתנאים נוספים מעל יעד הרווח (TP).
Strategy with DI+/DI-, ADX, RSI, MACD, EMA + Time Stop [EXP. 1]🧠 Concept & Purpose
This strategy combines several time-tested technical indicators—DI+/DI-, ADX, RSI, MACD, and long-term EMAs—to filter trend strength, momentum, and timing precision. The goal was to develop a multi-layered trend-following system suitable for low timeframes (tested on BTCUSDT 5m) while controlling risk with tight stop-losses, a high reward ratio, and a time-based exit to avoid long exposure in sideways markets.
⚙️ Components & Logic
• ADX + DI+/DI-: Confirm the presence and direction of a strong trend.
• RSI: Used to filter momentum bias. Buy signals require RSI > 55, sell signals < 45.
• MACD Histogram: Ensures entry is aligned with short-term momentum shifts.
• Strong Candle Filter: Filters out weak entries using candle body % strength.
• EMA 600 & EMA 2400: Define long-term trend bias. Entries only occur within 25 bars after EMA crossover in trend direction.
• Time-Based Stop: If a trade doesn’t move at least 0.75% in favor within 85 bars, it is closed to minimize stagnation.
• Reward-Risk Management: 1% stop-loss, 7.5:1 reward-to-risk ratio.
• One Signal Per Trend Shift: Only takes the first entry after each EMA cross.
📊 Strategy Settings & Backtest Conditions
• Initial Capital: $10,000
• Commission: 0.1% per trade
• Timeframe: 5-minute
• Test Range: Jan–Apr 2023
• Sample Size: Limited (⚠️ <10 trades – experimental phase)
Backtest Results (v1.0)
This version showed:
• ✅ 66.7% win rate on 3 trades
• 📉 P/L: +11,257.46 USDT (+112.57%)
• 🔻 Max drawdown: 5.03%
• 📈 Profit factor: 11.01
In an earlier test configuration:
• ❌ 5 trades, 0 wins
• 📉 -14.45% total P&L
• ⚠️ All losses hit the 1.5% stop
• ⚠️ Profit factor: 0.00
This contrast shows how sensitive the logic is to market context and parameter tuning.
💡 Purpose of Publication
This strategy is experimental and educational. It is open-sourced for transparency and to help other traders learn how complex indicator stacking may or may not work in real environments. The failed and improved tests are both part of the process.
⚠️ Disclaimer
This script is not financial advice. Please do your own research, forward-test it thoroughly, and adjust parameters based on your asset and timeframe.
TRAMA Cross Pivot Points📌 Description: TRAMA Cross Pivot Points
This indicator combines the powerful Trend Regularity Adaptive Moving Average (TRAMA) with dynamic pivot point.
🔍 What It Does:
Calculates a long-term TRAMA (default length 278) to filter trend direction and smooth volatility. I mostly use the lengths 20, 50, 100, 200, 278, and 314 to mark areas of retest.
Detects bullish and bearish price crossovers above and below the TRAMA.
Plots real-time pivot levels when a crossover occurs.
Draws a dashed horizontal pivot line only at the most recent crossover, keeping your chart clean and focused.
Includes alert conditions so you never miss a strategic moment.
⚙️ How It Works:
Bullish TRAMA Cross: When price crosses above the TRAMA, the script:
Calculates a potential pivot low using DM-style Logic.
Plots a green dashed line at that pivot level.
Optionally triggers an alert.
Bearish TRAMA Cross: When price crosses below the TRAMA:
A pivot high is calculated and plotted as a red dashed line.
Optional alert lets you know of a possible top.
📈 Pivot Logic:
Uses real-time candle data (OHLC) to adjust pivot points dynamically.
These pivots can act as potential support/resistance levels or entry zones.
🔔 Alerts:
Triggered when price crosses the TRAMA up or down.
Ideal for traders looking to enter on structure-based momentum.
✅ SMA20 Trend Table -(MAJOAK)Trend table of Bullish or Bearish to the SMA 20. Displays 1 Day, 1Hr, 15 Min and 5 min.
Turtle God Indicator (Đức Anh Trader)Description:
The Turtle God Indicator is a minimalist tool that provides quick visual feedback on the latest candle's momentum while remaining compliant with TradingView's visual guidelines.
🔹 The turtle appears only on the latest candle, keeping the chart clean and uncluttered.
🔹 Includes a 14-period Simple Moving Average (SMA) to help track trend direction.
🔹 Ideal for traders who want fun, subtle alerts without distracting overlays or indicators.
Inspired by Đức Anh Trader, this playful yet practical indicator is perfect for identifying momentum with a smile. 🐢
New MA Cross Strategy V6 By BRC Different MA added with resolution to improve performance using higher time frame
EMA Trend Dashboard
Trend Indicator using 3 custom EMA lines. Displays a table with 5 rows(position configurable)
-First line shows relative position of EMA lines to each other and outputs Bull, Weak Bull, Flat, Weak Bear, or Bear. EMA line1 should be less than EMA line2 and EMA line 2 should be less than EMA line3. Default is 9,21,50.
-Second through fourth line shows the slant of each EMA line. Up, Down, or Flat. Threshold for what is considered a slant is configurable. Also added a "steep" threshold configuration for steep slants.
-Fifth line shows exhaustion and is a simple, configurable calculation of the distance between EMA line1 and EMA line2.
--Lines one and five change depending on its value but ALL other colors are able to be changed.
--Default is somewhat set to work well with Micro E-mini Futures but this indicator can be changed to work on anything. I created it to help get a quick overview of short-term trend on futures. I used ChatGPT to help but I am still not sure if it actually took longer because of it.
Reverso [Flexi+]Reverso – Moving Average Touch Statistics Tracker
Reverso is a premium technical analysis tool that tracks and visualizes how price interacts with a selected Moving Average (EMA/SMA).
Providing detailed statistics about price behavior before, during, and after each Moving Average touch event.
This script is suitable for both trend-following and mean-reversion traders who want to study price reaction with respect to a Moving Average, understand market tendencies, and refine entry/exit strategies based on price-memory dynamics.
Features and Functionality
Supported MAs: EMA / SMA any length
Timeframe Support: any Timeframe >= to the current chart Timeframe
Touch Detection: Triggered when the price range (high to low) crosses or touches the selected MA
Automatic Data Tracking
Tables for Quick Visual Summary
Visual Overlay: Optional Moving Average line plotted on chart
History: User selectable up to 500 touches
Automatic Data Tracking:
Number of MA touches
Time intervals between touches
Price distance from last touch
Maximum price deviation (above/below MA) between touches
Time spent above/below MA
Tables for Quick Visual Summary:
Info Table: Live details about last and first touches, distance from touch, bars above/below, peak movements since last touch
Stats Table: Averages and extreme values for price behavior patterns across recent history
Core Metrics Tracked
Last Touch Price: The last price level where price touched the MA
Distance from Last Touch: Current % change from the last touch price
Time Between Touches: Average and maximum intervals (in bars or time) between touch events
Max Distance Above/Below: Peak movement above/below MA between touches
Bars Above/Below: How long price stayed above/below the MA since last touch
Peak This Cycle: Max deviation above/below in current cycle since last touch
How It Works
Reverso monitors each bar to check if price intersects the selected MA.
When a new touch occurs, it records the touch price and time, and resets the tracking cycle.
From that point forward, it tracks how far and how long price drifts above or below the MA.
This process repeats with each new touch, building a detailed profile of how price behaves around the moving average.
The result is a visual and statistical framework for understanding price memory, market rhythm, and mean-reversion opportunities.
Customization Options
Moving Average Type: Simple or Exponential
MA Length: Any
Show MA Line: Toggle the MA plot on the chart
Show Info Table: Enable/disable the current-touch summary
Show Statistics Table: Show aggregate data over the history
Table Positioning: Customizable placement for both tables
MA Color: Select custom color for MA plot
Max History: Number of touches used for the Statistic computation
Intended Use Cases
Identify reversal or continuation setups near MAs
Validate strategies relying on mean reversion
Backtest the consistency of price respect to MAs
Detect periods of volatility clustering around MAs
Notes and Disclaimers
This script does not repaint: calculations are made on confirmed bars.
This indicator is educational in nature and should be used alongside other forms of analysis.
Time durations in the tables are approximated using bar timing and may vary across markets/timeframes.